Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...
One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
As artificial intelligence (AI) keeps permeating new aspects of the economy and society, individuals and civic groups are devising creative ways to rebel. Though what impact this will have on the tech ...
Microchip’s products are long-time embedded-design workhorses, and the new solutions turn its MCUs and MPUs into complete platforms for bringing secure, efficient and scalable intelligence to the edge ...
AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...
TCTMD spoke with Lior Jankelson, MD, PhD (NYU Langone Health, New York, NY), an electrophysiologist who leads the AI/machine ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...
BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.
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